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An Optimized Computer Vision and Image Processing Algorithm for Unmarked Road Edge Detection

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Soft Computing and Signal Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 900))

Abstract

A report published by Ministry of Road Transport and Highways, Government of India, claims Mohan (IATSS Res 33:75–79, 2009 [1]) that around 17 deaths happen every hour by road accidents. Driver negligence is one of the major contributors to road accidents. Deviating from the road and hitting roadside objects can be avoided with early warning systems. Lane departure warning systems are inadequate to find the road edges, because of its indefinite nature. In this paper, an efficient algorithm has been proposed to identify the road edges. The algorithm was developed as a combination of concepts like HSV, thresholding, Canny edge detection, and random sample consensus (RANSAC) algorithm. Initially, the sample dataset was used to validate the algorithm. In the second iteration, real-time video was used to validate the algorithm. The algorithm was able to identify the road edge at various light conditions and various vehicle speeds. The algorithm was also developed further to calculate the distance from the center line and the road width.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India

    Jayalakshmi Annamalai

  2. Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India

    C. Lakshmikanthan

Authors
  1. Jayalakshmi Annamalai
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  2. C. Lakshmikanthan
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Corresponding author

Correspondence to C. Lakshmikanthan .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ, USA

    Jiacun Wang

  2. Department of Information Technology, National Institute of Technology Karnataka, Surathkal, Mangaluru, Karnataka, India

    G. Ram Mohana Reddy

  3. Department of Computer Science and Engineering, JNTUH College of Engineering Hyderabad, Hyderabad, Telangana, India

    V. Kamakshi Prasad

  4. Department of Electronics and Communication Engineering, Malla Reddy College of Engineering and Technology, Secunderabad, Telangana, India

    V. Sivakumar Reddy

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Annamalai, J., Lakshmikanthan, C. (2019). An Optimized Computer Vision and Image Processing Algorithm for Unmarked Road Edge Detection. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 900. Springer, Singapore. https://doi.org/10.1007/978-981-13-3600-3_40

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